Department of Anthropology, State University of New York College at Oneonta, Oneonta, NY 13820, USA.
Am J Phys Anthropol. 2010 May;142(1):105-11. doi: 10.1002/ajpa.21207.
Past studies have revealed that much of human craniometric variation follows a neutral model of population relationships. At the same time, there is evidence for the influence of natural selection in having shaped some global diversity in craniometrics. In order to partition these effects, and to explore other potential population-specific influences, this article analyzes residuals of craniometric distances from a geographically based neutral model of population structure. W.W. Howells' global craniometric data set was used for these analyses, consisting of 57 measurements for 22 populations around the world, excluding Polynesia and Micronesia because of the relatively recent settlement of these regions. Phenotypic and geographic distances were derived between all pairs of populations. Three-dimensional multidimensional scaling configurations were obtained for both distance matrices, and compared using a Procrustes rotation method to show which populations do not fit the geographic model. This analysis revealed three major deviations: the Buriat, Greenland Inuit, and Peru. The deviations of the Buriat and Greenland Inuit appear to be related to long-term adaptation to cold environments. The Peruvian sample is more similar to other New World populations than expected based on geographic distance alone. This deviation likely reflects the evolutionarily recent movement of human populations into South America, such that these populations are further from genetic equilibrium. This same pattern is seen in South American populations in a comparative analysis of classical genetic markers, but not in a comparative analysis of STR loci, perhaps reflecting the higher mutation rate for the latter.
过去的研究表明,人类颅骨测量学的大部分变异遵循种群关系的中性模型。同时,也有证据表明自然选择影响了颅骨测量学的一些全球性多样性。为了划分这些影响,并探索其他潜在的特定于种群的影响,本文分析了从基于地理的人口结构中性模型中得出的颅骨测量距离的残差。本文使用了 W.W.豪厄尔斯的全球颅骨测量数据集进行这些分析,该数据集由全球 22 个种群的 57 个测量值组成,不包括波利尼西亚和密克罗尼西亚,因为这些地区的人口相对较新。在所有种群之间得出了表型和地理距离。获得了两个距离矩阵的三维多维标度配置,并使用 Procrustes 旋转方法进行比较,以显示哪些种群不符合地理模型。该分析揭示了三个主要偏差:布里亚特人、格陵兰因纽特人和秘鲁人。布里亚特人和格陵兰因纽特人的偏差似乎与长期适应寒冷环境有关。秘鲁样本与仅基于地理距离预期的其他新世界种群更相似。这种偏差可能反映了人类种群最近向南美洲的迁徙,因此这些种群离遗传平衡更远。在对经典遗传标记的比较分析中可以看到这种模式,但在对 STR 基因座的比较分析中没有看到这种模式,这可能反映了后者的突变率更高。